Data Engineer

1 week ago


København K, Denmark Nordea Bank Full time

Would you like to be part of the team creating a cutting-edge data platform? We are currently seeking a Data Engineer to contribute to the development of a cloud-based lakehouse for NAM's Investments Domain. Nordea Asset Management (NAM) is a key player in investment management within the Nordea Group and the Asset & Wealth Management division. NAM's goal is to establish itself as a top European Asset Manager while focusing on delivering returns responsibly, meeting customer needs, and promoting sustainable ESG practices. With approximately 900 employees and over 475 institutional clients, NAM is the leading asset manager in the Nordics and beyond.

About this exciting opportunity
Welcome to the Investments Engineering team where we excel in automating trading execution and analytics. As a Data Engineer, you will contribute significantly by constructing essential data pipelines and tools to support our quantitative analysts.

What you'll be responsible for:

  • Developing the INVADE Data Platform by incorporating new data sources and transformations to address evolving business needs
  • Enhancing the platform continuously by embracing new technologies and methodologies as they emerge
  • Collaborating with the Trading Quant team to refine the data model and incorporate new sources
  • Creating internal tools to aid development and the Trading Quant team
  • Continuing the migration of the current platform to our Lakehouse framework

You will become part of a dynamic, diverse, and efficient team, working in an agile and international environment, situated in Copenhagen.

Who you are

Collaboration. Ownership. Passion. Courage. These core values drive us to perform at our best, and we hope you share these values with us.
To excel in this role, we expect you to:

  • Embrace good software practices like "Everything-as-code", automated testing, and efficient CI/CD practices to enable continuous delivery at high speed and quality
  • Support the "you build it, you run it" principle to take ownership
  • Have a willingness to adapt and explore improved work methodologies

Your qualifications and background:

  • Proficiency in Python within a data engineering context
  • Experience with SQL

Moreover, having experience in any of the following areas is beneficial:

  • Developing and deploying containerized applications on Kubernetes
  • Utilizing Apache Kafka for stream processing and data distribution
  • Constructing DAGs with Apache Airflow
  • Familiarity with Apache Iceberg/Lakehouse
  • Experience with AWS or other public cloud platforms
  • Proficiency in infrastructure-as-code tools like Terraform
  • Knowledge of C#/.Net
  • Working in end-to-end delivery teams

If this opportunity resonates with you, don't hesitate to reach out.


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